Mac15,13
Geekbench AI Score
8758
Single Precision Score
10414
Half Precision Score
9686
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 10:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4361
811.0 IPS |
|
|
Image Classification (HP)
|
100% |
4808
894.1 IPS |
|
|
Image Classification (Q)
|
96% |
4156
776.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6515
105.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7105
115.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6784
110.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
23587
27.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26432
30.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
25808
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
4337
344.0 IPS |
|
|
Object Detection (HP)
|
100% |
4733
375.4 IPS |
|
|
Object Detection (Q)
|
92% |
4446
354.9 IPS |
|
|
Face Detection (SP)
|
100% |
11286
134.1 IPS |
|
|
Face Detection (HP)
|
100% |
14998
178.2 IPS |
|
|
Face Detection (Q)
|
100% |
11994
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18277
140.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20131
155.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
18685
145.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49424
63.5 IPS |
|
|
Style Transfer (HP)
|
100% |
60365
77.6 IPS |
|
|
Style Transfer (Q)
|
96% |
58269
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10866
401.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10992
405.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9533
352.0 IPS |
|
|
Text Classification (SP)
|
100% |
3101
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5321
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5301
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2660
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3294
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3407
58.9 IPS |
