Mac16,13
Geekbench AI Score
8646
Single Precision Score
10084
Half Precision Score
9504
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | stefanichim |
| Upload Date | June 07 2025 10:15 PM |
| Views | 5 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4431
824.0 IPS |
|
|
Image Classification (HP)
|
100% |
4765
886.2 IPS |
|
|
Image Classification (Q)
|
96% |
4456
832.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7107
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7681
124.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7569
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27486
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29675
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29344
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4591
364.2 IPS |
|
|
Object Detection (HP)
|
100% |
5160
409.3 IPS |
|
|
Object Detection (Q)
|
92% |
4723
377.0 IPS |
|
|
Face Detection (SP)
|
100% |
12571
149.4 IPS |
|
|
Face Detection (HP)
|
100% |
16044
190.6 IPS |
|
|
Face Detection (Q)
|
100% |
13045
155.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20328
156.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
21853
168.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20245
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
54651
70.3 IPS |
|
|
Style Transfer (HP)
|
100% |
65187
83.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63827
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11548
426.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11395
420.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10131
374.1 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5366
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5305
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1421
24.6 IPS |
