Mac16,12
Geekbench AI Score
4827
Single Precision Score
36718
Half Precision Score
51805
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | andriyfedorov |
| Upload Date | April 27 2025 03:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
17391
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
25242
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21176
343.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29177
473.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10022
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122415
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231513
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
19312
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26224
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
43844
521.0 IPS |
|
|
Face Detection (Q)
|
100% |
63387
753.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8633
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98984
762.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168821
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21684
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233161
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
296042
382.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49675
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83725
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6181
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6412
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16470
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18311
316.4 IPS |
