Mac16,12
Geekbench AI Score
4917
Single Precision Score
36431
Half Precision Score
51948
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ritesh259 |
| Upload Date | October 18 2025 07:48 AM |
| Views | 4 |
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% |
2087
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
16678
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
23682
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22200
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31007
502.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123544
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232399
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
17975
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26705
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4189
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
43827
520.8 IPS |
|
|
Face Detection (Q)
|
100% |
64592
767.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8460
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99579
767.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
166267
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24213
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232248
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
321203
414.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52101
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85799
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5719
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5670
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4554
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16585
285.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18716
323.4 IPS |
