Mac16,12
Geekbench AI Score
4747
Single Precision Score
37414
Half Precision Score
53072
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | lifekills |
| Upload Date | July 09 2025 08:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
19103
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
29230
5.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21799
353.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30069
487.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9884
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122849
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231212
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2397
190.1 IPS |
|
|
Object Detection (HP)
|
100% |
18577
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26596
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4068
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
43985
522.6 IPS |
|
|
Face Detection (Q)
|
100% |
59387
705.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8560
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100343
773.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
169646
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21547
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234754
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299537
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49788
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85471
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6549
8.74 KIPS |
|
|
Text Classification (Q)
|
93% |
6967
9.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16740
288.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18256
315.5 IPS |
