MacBook Pro (16-inch, 2024)
Geekbench AI Score
5962
Single Precision Score
9171
Half Precision Score
7017
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Skipper10B |
| Upload Date | January 19 2025 10:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2139
397.7 IPS |
|
|
Image Classification (HP)
|
100% |
3080
572.8 IPS |
|
|
Image Classification (Q)
|
96% |
2193
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3626
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3975
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19282
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
32214
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24964
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2598
206.1 IPS |
|
|
Object Detection (HP)
|
97% |
3897
310.3 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
4854
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
7980
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
4758
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8910
68.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15156
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10307
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
37048
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53558
68.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39873
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7209
266.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9769
360.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5338
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5319
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5294
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
6060
104.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8926
154.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8924
154.2 IPS |
