Mac16,10
Geekbench AI Score
10177
Single Precision Score
11782
Half Precision Score
9280
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | April 25 2025 04:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4701
874.2 IPS |
|
|
Image Classification (HP)
|
100% |
5004
930.6 IPS |
|
|
Image Classification (Q)
|
99% |
5047
941.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7623
123.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8229
133.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
8150
132.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29962
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31944
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30556
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4884
387.4 IPS |
|
|
Object Detection (HP)
|
100% |
5418
429.7 IPS |
|
|
Object Detection (Q)
|
92% |
4985
397.9 IPS |
|
|
Face Detection (SP)
|
100% |
13090
155.5 IPS |
|
|
Face Detection (HP)
|
100% |
16367
194.5 IPS |
|
|
Face Detection (Q)
|
100% |
13854
164.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21867
168.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23905
184.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
3904
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
60300
77.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72161
92.8 IPS |
|
|
Style Transfer (Q)
|
100% |
72292
92.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12424
458.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13715
506.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11291
418.3 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5309
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5402
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3673
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3521
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3172
54.8 IPS |
