Mac15,13
Geekbench AI Score
7449
Single Precision Score
8986
Half Precision Score
8011
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 07 2025 03:14 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.78 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4371
812.9 IPS |
|
|
Image Classification (HP)
|
100% |
4723
878.4 IPS |
|
|
Image Classification (Q)
|
97% |
4076
760.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4255
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6012
97.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6333
102.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
25071
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26661
31.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25313
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4292
340.4 IPS |
|
|
Object Detection (HP)
|
100% |
4869
386.2 IPS |
|
|
Object Detection (Q)
|
91% |
4161
332.5 IPS |
|
|
Face Detection (SP)
|
100% |
10945
130.1 IPS |
|
|
Face Detection (HP)
|
100% |
14576
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
10783
128.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18531
142.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20556
158.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17783
139.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51314
66.0 IPS |
|
|
Style Transfer (HP)
|
100% |
60580
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
57058
73.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11121
410.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11948
441.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9568
353.3 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5211
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5230
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
732
12.6 IPS |
