MacBook Pro (16-inch, 2024)
Geekbench AI Score
19826
Single Precision Score
21955
Half Precision Score
20209
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 01 2025 03:57 PM |
| Views | 5 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9984
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
10208
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
8817
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19997
324.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20530
332.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
21282
345.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
107735
125.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
110686
129.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
103914
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
9244
733.2 IPS |
|
|
Object Detection (HP)
|
100% |
10428
827.2 IPS |
|
|
Object Detection (Q)
|
91% |
8689
694.3 IPS |
|
|
Face Detection (SP)
|
100% |
39665
471.3 IPS |
|
|
Face Detection (HP)
|
100% |
40569
482.0 IPS |
|
|
Face Detection (Q)
|
100% |
31899
379.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44430
342.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47325
364.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
40465
316.2 IPS |
|
|
Style Transfer (SP)
|
100% |
221663
285.0 IPS |
|
|
Style Transfer (HP)
|
100% |
240026
308.6 IPS |
|
|
Style Transfer (Q)
|
96% |
225243
290.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29733
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31807
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25707
949.2 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5377
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5304
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1365
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1692
29.2 IPS |
