Mac17,2
Geekbench AI Score
5058
Single Precision Score
43355
Half Precision Score
60958
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 09:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2209
410.8 IPS |
|
|
Image Classification (HP)
|
100% |
19412
3.61 KIPS |
|
|
Image Classification (Q)
|
97% |
26852
5.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24564
398.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33799
547.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9336
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
179439
209.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
333314
390.7 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.3 IPS |
|
|
Object Detection (HP)
|
100% |
20688
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
28604
2.29 KIPS |
|
|
Face Detection (SP)
|
100% |
4386
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
47221
561.1 IPS |
|
|
Face Detection (Q)
|
100% |
69411
824.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8887
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
113730
876.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
192058
1.50 KIPS |
|
|
Style Transfer (SP)
|
100% |
26337
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
272879
350.8 IPS |
|
|
Style Transfer (Q)
|
96% |
378754
488.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5918
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67234
2.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
106724
3.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
7501
10.0 KIPS |
|
|
Text Classification (Q)
|
93% |
7947
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
4742
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17935
308.9 IPS |
|
|
Machine Translation (Q)
|
98% |
19121
330.4 IPS |
