Mac16,13
Geekbench AI Score
4849
Single Precision Score
7936
Half Precision Score
6368
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | OXO |
| Upload Date | August 24 2025 08:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.8 IPS |
|
|
Image Classification (Q)
|
96% |
2324
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3170
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3617
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10012
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19402
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16711
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2722
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
4259
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7542
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4436
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8681
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14718
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10285
80.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21634
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38639
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32048
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6127
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7275
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5028
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5628
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4444
76.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7256
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7179
124.1 IPS |
