Mac16,12
Geekbench AI Score
4704
Single Precision Score
38316
Half Precision Score
54563
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 19 2025 04:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
19070
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
28763
5.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22258
360.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30627
496.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9872
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123459
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232681
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
19413
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
27038
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3882
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
45599
541.8 IPS |
|
|
Face Detection (Q)
|
100% |
66976
795.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100406
773.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
173258
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25224
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237334
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299313
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50690
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88169
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3023
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6957
9.29 KIPS |
|
|
Text Classification (Q)
|
93% |
7165
9.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3981
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17496
301.4 IPS |
|
|
Machine Translation (Q)
|
98% |
19236
332.4 IPS |
