MacBook Pro (16-inch, 2024)
Geekbench AI Score
5374
Single Precision Score
37287
Half Precision Score
51237
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 05 2025 06:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
17984
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
22705
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23251
376.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31970
518.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17180
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122506
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229547
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
20383
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
25071
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4630
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
45394
539.4 IPS |
|
|
Face Detection (Q)
|
100% |
55997
665.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8617
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111639
860.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
177253
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25076
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237388
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301135
388.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46729
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78193
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
7481
10.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5686
97.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16300
280.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17075
295.1 IPS |
