Mac16,13
Geekbench AI Score
8875
Single Precision Score
10401
Half Precision Score
9749
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fmps6111 |
| Upload Date | June 23 2025 03:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4425
822.9 IPS |
|
|
Image Classification (HP)
|
100% |
4762
885.6 IPS |
|
|
Image Classification (Q)
|
96% |
4454
831.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7137
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7741
125.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7599
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27858
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29742
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29411
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4578
363.1 IPS |
|
|
Object Detection (HP)
|
100% |
5145
408.1 IPS |
|
|
Object Detection (Q)
|
92% |
4743
378.6 IPS |
|
|
Face Detection (SP)
|
100% |
12611
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
16273
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
13346
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20376
157.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21964
169.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20087
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
57154
73.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66500
85.5 IPS |
|
|
Style Transfer (Q)
|
96% |
64828
83.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11569
427.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11613
428.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10291
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5429
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5652
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1625
28.1 IPS |
