MacBook Pro (14-inch, 2024)
Geekbench AI Score
5961
Single Precision Score
36241
Half Precision Score
48931
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jaxxdotred |
| Upload Date | March 01 2025 07:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2138
397.5 IPS |
|
|
Image Classification (HP)
|
100% |
16669
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21891
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2605
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22631
366.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31227
506.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19187
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123387
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
230374
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
18983
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
23141
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4758
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
44360
527.1 IPS |
|
|
Face Detection (Q)
|
100% |
61588
731.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9031
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
109166
841.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
177191
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
37128
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233130
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298367
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7188
265.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45698
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76988
2.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5313
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6051
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16095
277.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16213
280.2 IPS |
