Mac16,12
Geekbench AI Score
8815
Single Precision Score
10505
Half Precision Score
9768
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mantis30pl |
| Upload Date | April 15 2025 02:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4493
835.5 IPS |
|
|
Image Classification (HP)
|
100% |
4789
890.6 IPS |
|
|
Image Classification (Q)
|
96% |
4462
833.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7052
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7756
125.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7571
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27594
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29832
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29074
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4556
361.4 IPS |
|
|
Object Detection (HP)
|
100% |
5145
408.1 IPS |
|
|
Object Detection (Q)
|
92% |
4741
378.4 IPS |
|
|
Face Detection (SP)
|
100% |
12503
148.6 IPS |
|
|
Face Detection (HP)
|
100% |
16122
191.6 IPS |
|
|
Face Detection (Q)
|
100% |
13243
157.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20289
156.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22331
172.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20551
160.7 IPS |
|
|
Style Transfer (SP)
|
100% |
55074
70.8 IPS |
|
|
Style Transfer (HP)
|
100% |
66738
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64381
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11456
423.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12721
469.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10999
406.1 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5500
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1518
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1726
29.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1603
27.7 IPS |
