Mac16,12
Geekbench AI Score
4830
Single Precision Score
37471
Half Precision Score
54419
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Ricochet |
| Upload Date | September 16 2025 07:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.4 IPS |
|
|
Image Classification (HP)
|
100% |
17491
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
26615
4.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21995
356.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30396
492.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9971
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123027
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232541
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
19009
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27038
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
44654
530.6 IPS |
|
|
Face Detection (Q)
|
100% |
64332
764.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100072
771.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
169860
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21673
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234626
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299821
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6151
227.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49415
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87333
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3014
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
6769
9.03 KIPS |
|
|
Text Classification (Q)
|
93% |
8234
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4468
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17296
297.9 IPS |
|
|
Machine Translation (Q)
|
98% |
19010
328.5 IPS |
