Mac16,12
Geekbench AI Score
4476
Single Precision Score
35285
Half Precision Score
49609
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | 365azureguy |
| Upload Date | August 11 2025 08:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
18316
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
23488
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21899
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30269
490.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8705
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122150
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233372
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
17456
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25018
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
42278
502.4 IPS |
|
|
Face Detection (Q)
|
100% |
59121
702.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8016
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96172
740.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160066
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21572
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232824
299.3 IPS |
|
|
Style Transfer (Q)
|
96% |
318681
411.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49876
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84886
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5421
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5430
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3991
68.7 IPS |
|
|
Machine Translation (HP)
|
100% |
13668
235.4 IPS |
|
|
Machine Translation (Q)
|
98% |
15649
270.4 IPS |
