Mac16,6
Geekbench AI Score
21531
Single Precision Score
23748
Half Precision Score
21307
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | November 12 2024 07:07 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9963
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10335
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
8597
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19260
312.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20100
325.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20939
339.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
106948
124.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
109776
128.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
103075
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
9035
716.6 IPS |
|
|
Object Detection (HP)
|
100% |
9984
791.9 IPS |
|
|
Object Detection (Q)
|
91% |
8601
687.3 IPS |
|
|
Face Detection (SP)
|
100% |
38905
462.3 IPS |
|
|
Face Detection (HP)
|
100% |
39443
468.7 IPS |
|
|
Face Detection (Q)
|
100% |
30388
361.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
44073
339.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46576
358.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
39551
309.1 IPS |
|
|
Style Transfer (SP)
|
100% |
219279
281.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236209
303.6 IPS |
|
|
Style Transfer (Q)
|
96% |
216855
279.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29766
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30854
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25363
936.5 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5341
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5394
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3390
58.6 IPS |
