MacBook Pro (16-inch, 2024)
Geekbench AI Score
5354
Single Precision Score
37105
Half Precision Score
49750
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Omar-Muhamad |
| Upload Date | June 24 2025 01:29 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 | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
17647
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22156
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23305
377.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32406
525.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17159
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122813
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
229594
269.1 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
19461
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23808
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4565
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
40245
478.2 IPS |
|
|
Face Detection (Q)
|
100% |
59592
708.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8565
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109659
844.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169956
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25772
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234395
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300725
388.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5939
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46888
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78882
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6094
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5735
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5687
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17031
293.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17177
296.8 IPS |
