Mac16,12
Geekbench AI Score
4948
Single Precision Score
36194
Half Precision Score
50721
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 09:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
17133
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
23533
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21754
352.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30824
499.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10084
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122435
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232145
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
17715
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25557
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4258
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
43688
519.1 IPS |
|
|
Face Detection (Q)
|
100% |
60134
714.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8502
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99244
764.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162327
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24358
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232154
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
320621
413.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6094
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51129
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82929
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5607
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5539
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4601
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16540
284.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18214
314.8 IPS |
