Mac16,13
Geekbench AI Score
8359
Single Precision Score
11129
Half Precision Score
9638
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | AGW2022 |
| Upload Date | December 01 2025 11:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4367
812.2 IPS |
|
|
Image Classification (HP)
|
100% |
5132
954.4 IPS |
|
|
Image Classification (Q)
|
96% |
4586
856.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6949
112.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7769
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7534
122.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25308
29.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29328
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29241
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
4140
328.4 IPS |
|
|
Object Detection (HP)
|
100% |
5117
405.9 IPS |
|
|
Object Detection (Q)
|
92% |
4830
385.5 IPS |
|
|
Face Detection (SP)
|
100% |
11734
139.4 IPS |
|
|
Face Detection (HP)
|
100% |
16525
196.4 IPS |
|
|
Face Detection (Q)
|
100% |
13107
155.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20314
156.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22603
174.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20601
160.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50171
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
62364
80.2 IPS |
|
|
Style Transfer (Q)
|
96% |
60324
77.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11617
428.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12062
445.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10528
388.7 IPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
5387
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5258
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1855
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3219
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1573
27.2 IPS |
