Mac16,1
Geekbench AI Score
10013
Single Precision Score
11844
Half Precision Score
10676
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | March 18 2025 09:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| Model | Mac16,1 |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| 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% |
4805
893.6 IPS |
|
|
Image Classification (HP)
|
100% |
5174
962.2 IPS |
|
|
Image Classification (Q)
|
96% |
4750
887.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7726
125.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8623
139.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8092
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29627
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32107
37.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
31280
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4851
384.8 IPS |
|
|
Object Detection (HP)
|
100% |
5473
434.2 IPS |
|
|
Object Detection (Q)
|
92% |
5085
405.9 IPS |
|
|
Face Detection (SP)
|
100% |
12548
149.1 IPS |
|
|
Face Detection (HP)
|
100% |
16715
198.6 IPS |
|
|
Face Detection (Q)
|
100% |
13724
163.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21989
169.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24551
189.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
22032
172.3 IPS |
|
|
Style Transfer (SP)
|
100% |
61516
79.1 IPS |
|
|
Style Transfer (HP)
|
100% |
73048
93.9 IPS |
|
|
Style Transfer (Q)
|
96% |
70052
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12671
467.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13916
513.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11920
440.2 IPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5227
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5277
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3038
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2362
40.8 IPS |
