Mac15,13
Geekbench AI Score
7444
Single Precision Score
8605
Half Precision Score
7889
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 03:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4301
799.8 IPS |
|
|
Image Classification (HP)
|
100% |
4672
868.9 IPS |
|
|
Image Classification (Q)
|
97% |
4038
753.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4158
67.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5863
95.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6279
101.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24656
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26508
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25212
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
4361
345.9 IPS |
|
|
Object Detection (HP)
|
100% |
4877
386.9 IPS |
|
|
Object Detection (Q)
|
91% |
4137
330.6 IPS |
|
|
Face Detection (SP)
|
100% |
11558
137.3 IPS |
|
|
Face Detection (HP)
|
100% |
14909
177.2 IPS |
|
|
Face Detection (Q)
|
100% |
10848
128.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18261
140.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13845
106.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12177
95.2 IPS |
|
|
Style Transfer (SP)
|
100% |
51258
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60114
77.3 IPS |
|
|
Style Transfer (Q)
|
96% |
56307
72.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10846
400.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11693
431.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9394
346.9 IPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5204
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5167
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
979
16.9 IPS |
