Mac16,12
Geekbench AI Score
4708
Single Precision Score
37119
Half Precision Score
51583
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nobihaya |
| Upload Date | March 10 2025 09:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
17409
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25101
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21931
355.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30074
487.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9989
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123118
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232633
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
18174
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25744
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3886
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
43092
512.0 IPS |
|
|
Face Detection (Q)
|
100% |
64090
761.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8304
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99614
767.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168077
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25241
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234985
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297453
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5907
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48975
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82311
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
7202
9.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6220
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16340
281.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17984
310.8 IPS |
