MacBook Pro (16-inch, 2024)
Geekbench AI Score
15610
Single Precision Score
17714
Half Precision Score
15649
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jordan41902348 |
| Upload Date | February 03 2025 09:38 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7936
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8387
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
7047
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12265
198.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13153
213.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13502
218.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56991
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59321
69.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
56165
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
7378
585.3 IPS |
|
|
Object Detection (HP)
|
100% |
7879
624.9 IPS |
|
|
Object Detection (Q)
|
91% |
6595
527.0 IPS |
|
|
Face Detection (SP)
|
100% |
25821
306.8 IPS |
|
|
Face Detection (HP)
|
100% |
29341
348.6 IPS |
|
|
Face Detection (Q)
|
100% |
21158
251.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33895
261.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
36655
282.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
30469
238.1 IPS |
|
|
Style Transfer (SP)
|
100% |
124528
160.1 IPS |
|
|
Style Transfer (HP)
|
100% |
135585
174.3 IPS |
|
|
Style Transfer (Q)
|
96% |
128265
165.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23371
863.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24992
922.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19814
731.6 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5372
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5350
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2783
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3015
51.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2852
49.3 IPS |
