Mac17,2
Geekbench AI Score
4840
Single Precision Score
42713
Half Precision Score
60463
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 03:47 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 | 4.28 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2106
391.6 IPS |
|
|
Image Classification (HP)
|
100% |
19228
3.58 KIPS |
|
|
Image Classification (Q)
|
97% |
27505
5.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23994
389.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33219
538.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9683
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
170290
198.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
319349
374.3 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
20634
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
28117
2.25 KIPS |
|
|
Face Detection (SP)
|
100% |
4089
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
47392
563.1 IPS |
|
|
Face Detection (Q)
|
100% |
67959
807.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8541
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112580
867.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
195981
1.53 KIPS |
|
|
Style Transfer (SP)
|
100% |
22422
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
266803
343.0 IPS |
|
|
Style Transfer (Q)
|
96% |
367549
474.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5416
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64015
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104354
3.85 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
7570
10.1 KIPS |
|
|
Text Classification (Q)
|
93% |
8015
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
4514
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
18076
311.4 IPS |
|
|
Machine Translation (Q)
|
98% |
19440
335.9 IPS |
