Mac15,13
Geekbench AI Score
7505
Single Precision Score
9088
Half Precision Score
8081
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dieterthomas |
| Upload Date | January 13 2025 03:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4342
807.5 IPS |
|
|
Image Classification (HP)
|
100% |
4735
880.6 IPS |
|
|
Image Classification (Q)
|
97% |
4042
754.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4356
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6038
97.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6361
103.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25078
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26610
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25371
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4160
330.0 IPS |
|
|
Object Detection (HP)
|
100% |
4894
388.2 IPS |
|
|
Object Detection (Q)
|
91% |
4141
330.9 IPS |
|
|
Face Detection (SP)
|
100% |
11722
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
15080
179.2 IPS |
|
|
Face Detection (Q)
|
100% |
10951
130.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18367
141.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20629
158.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
17807
139.2 IPS |
|
|
Style Transfer (SP)
|
100% |
51805
66.6 IPS |
|
|
Style Transfer (HP)
|
100% |
60702
78.0 IPS |
|
|
Style Transfer (Q)
|
96% |
56876
73.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11077
409.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12314
454.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9694
357.9 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5199
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5127
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
798
13.8 IPS |
