MacBook Pro (16-inch, 2024)
Geekbench AI Score
5971
Single Precision Score
9199
Half Precision Score
7059
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Nubz54 |
| Upload Date | December 14 2024 10:10 PM |
| Views | 4 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2124
395.0 IPS |
|
|
Image Classification (HP)
|
100% |
3077
572.1 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2550
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3561
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3980
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19157
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32790
38.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
25111
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (HP)
|
97% |
3895
310.0 IPS |
|
|
Object Detection (Q)
|
94% |
2695
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4869
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8102
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
4765
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9118
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15354
118.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10543
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37214
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
53422
68.7 IPS |
|
|
Style Transfer (Q)
|
96% |
40028
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7189
265.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9607
354.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5340
197.2 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5348
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5340
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6095
105.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9082
156.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9096
157.2 IPS |
