Mac16,12
Geekbench AI Score
7003
Single Precision Score
8244
Half Precision Score
7254
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | XiaoliMEMZ |
| Upload Date | August 11 2025 04:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C2101) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3919
728.8 IPS |
|
|
Image Classification (HP)
|
100% |
4141
770.1 IPS |
|
|
Image Classification (Q)
|
97% |
3633
677.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4245
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5595
90.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5782
93.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21926
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
23328
27.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
22220
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
4198
333.0 IPS |
|
|
Object Detection (HP)
|
100% |
4556
361.4 IPS |
|
|
Object Detection (Q)
|
91% |
3876
309.7 IPS |
|
|
Face Detection (SP)
|
100% |
11393
135.4 IPS |
|
|
Face Detection (HP)
|
100% |
13858
164.7 IPS |
|
|
Face Detection (Q)
|
100% |
10022
119.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18026
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19584
150.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
16891
132.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47382
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53991
69.4 IPS |
|
|
Style Transfer (Q)
|
96% |
50754
65.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9446
348.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10339
381.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8192
302.5 IPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5675
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
98% |
580
10.0 IPS |
