Mac16,12
Geekbench AI Score
4973
Single Precision Score
36348
Half Precision Score
50924
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 23 2025 10:39 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2105
391.5 IPS |
|
|
Image Classification (HP)
|
100% |
17048
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
23009
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22321
361.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30676
497.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122530
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232951
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
17774
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26323
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4322
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
43090
512.0 IPS |
|
|
Face Detection (Q)
|
100% |
60600
720.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8598
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99303
765.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163038
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24431
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
228186
293.3 IPS |
|
|
Style Transfer (Q)
|
96% |
318280
410.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6078
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51524
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82921
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3327
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5712
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16472
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18194
314.4 IPS |
