MacBook Pro (16-inch, 2024)
Geekbench AI Score
6005
Single Precision Score
9215
Half Precision Score
7068
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Skipper10B |
| Upload Date | December 03 2024 11:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2137
397.5 IPS |
|
|
Image Classification (HP)
|
100% |
3069
570.8 IPS |
|
|
Image Classification (Q)
|
96% |
2214
413.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3697
59.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3988
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19219
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32589
38.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24991
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
2590
205.5 IPS |
|
|
Object Detection (HP)
|
97% |
3898
310.3 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4864
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
8193
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
4758
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9118
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15086
116.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10538
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37192
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53745
69.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40360
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9661
356.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5402
199.5 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5294
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6212
107.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8970
155.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9045
156.3 IPS |
