MacBook Pro (16-inch, 2024)/M4 Max MacBook Pro (16-inch, 2024)
Geekbench AI Score
19291
Single Precision Score
21468
Half Precision Score
19189
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 21 2025 05:48 AM |
| Views | 9 |
| Notes | MacBook Pro (16-inch, 2024)/M4 Max 14Core CPU/32Core GPU//36GB/1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9144
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
9541
1.77 KIPS |
|
|
Image Classification (Q)
|
97% |
8156
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16437
266.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17746
287.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18376
297.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
80483
93.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
83537
97.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
79303
92.9 IPS |
|
|
Object Detection (SP)
|
100% |
8678
688.4 IPS |
|
|
Object Detection (HP)
|
100% |
9504
753.9 IPS |
|
|
Object Detection (Q)
|
91% |
8029
641.6 IPS |
|
|
Face Detection (SP)
|
100% |
34268
407.2 IPS |
|
|
Face Detection (HP)
|
100% |
36015
427.9 IPS |
|
|
Face Detection (Q)
|
100% |
26894
319.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42243
325.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43825
337.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
36702
286.8 IPS |
|
|
Style Transfer (SP)
|
100% |
185325
238.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203481
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
188673
243.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26181
966.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27146
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21720
802.0 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5343
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5294
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3282
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3314
57.3 IPS |
