Mac16,6
Geekbench AI Score
21423
Single Precision Score
23848
Half Precision Score
20097
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 03:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac16,6 |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| 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% |
9993
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
10363
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
8915
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19272
312.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20135
326.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21126
342.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
107095
125.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
109680
128.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103138
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
8892
705.3 IPS |
|
|
Object Detection (HP)
|
100% |
9840
780.5 IPS |
|
|
Object Detection (Q)
|
91% |
8659
691.9 IPS |
|
|
Face Detection (SP)
|
100% |
37226
442.3 IPS |
|
|
Face Detection (HP)
|
100% |
39664
471.3 IPS |
|
|
Face Detection (Q)
|
100% |
29851
354.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44369
341.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
46603
359.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
39167
306.1 IPS |
|
|
Style Transfer (SP)
|
100% |
219203
281.8 IPS |
|
|
Style Transfer (HP)
|
100% |
239807
308.3 IPS |
|
|
Style Transfer (Q)
|
96% |
218118
281.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30263
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31382
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25449
939.7 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5421
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1830
31.6 IPS |
