MacBook Pro (16-inch, 2024)
Geekbench AI Score
5379
Single Precision Score
37992
Half Precision Score
50886
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sandsaber |
| Upload Date | June 10 2025 03:47 PM |
| Views | 10 |
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% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
18749
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
22422
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23299
377.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32825
532.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17412
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122598
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230605
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
19773
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
24086
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
45157
536.6 IPS |
|
|
Face Detection (Q)
|
100% |
56087
666.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112083
863.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
181397
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
25470
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
236756
304.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300869
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5967
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47124
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80335
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6175
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6765
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5624
96.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16971
292.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17118
295.8 IPS |
