Mac16,9
Geekbench AI Score
21466
Single Precision Score
23680
Half Precision Score
21297
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sabotage |
| Upload Date | March 17 2025 05:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10066
1.87 KIPS |
|
|
Image Classification (HP)
|
100% |
10291
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
8690
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19547
316.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20739
336.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21082
341.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
106877
124.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
110037
128.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103457
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
9143
725.2 IPS |
|
|
Object Detection (HP)
|
100% |
10139
804.3 IPS |
|
|
Object Detection (Q)
|
91% |
8615
688.4 IPS |
|
|
Face Detection (SP)
|
100% |
39829
473.3 IPS |
|
|
Face Detection (HP)
|
100% |
40817
485.0 IPS |
|
|
Face Detection (Q)
|
100% |
32628
387.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44658
344.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47152
363.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
39769
310.8 IPS |
|
|
Style Transfer (SP)
|
100% |
220056
282.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236421
303.9 IPS |
|
|
Style Transfer (Q)
|
96% |
218356
281.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29715
1.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31246
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25523
942.4 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5299
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3069
53.0 IPS |
