Mac16,12
Geekbench AI Score
4848
Single Precision Score
7937
Half Precision Score
6350
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | oldnick |
| Upload Date | May 04 2025 07:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9987
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19440
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16654
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4258
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7614
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4340
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8626
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14623
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10251
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21678
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38395
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31876
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6130
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7226
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4971
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5711
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4401
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7164
123.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7387
127.7 IPS |
