Mac16,6
Geekbench AI Score
5997
Single Precision Score
9220
Half Precision Score
7049
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | November 25 2024 04:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2152
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
3108
578.0 IPS |
|
|
Image Classification (Q)
|
96% |
2215
413.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2578
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3662
59.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3973
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19178
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32472
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24955
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.6 IPS |
|
|
Object Detection (HP)
|
97% |
3890
309.7 IPS |
|
|
Object Detection (Q)
|
94% |
2717
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8180
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
4750
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9126
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15039
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10463
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37586
48.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53916
69.3 IPS |
|
|
Style Transfer (Q)
|
96% |
40582
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7229
266.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9658
356.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5269
194.6 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5337
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5316
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
6196
106.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9041
156.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8997
155.5 IPS |
