Mac16,12
Geekbench AI Score
4775
Single Precision Score
7842
Half Precision Score
6291
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | geekgrunt |
| Upload Date | April 29 2025 08:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.4 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3128
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9939
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19413
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16633
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
97% |
3789
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4088
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
7138
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
4247
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8569
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14563
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10138
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21353
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38443
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31634
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6113
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7201
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5063
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5504
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7202
124.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7172
123.9 IPS |
