Mac17,2
Geekbench AI Score
5330
Single Precision Score
41554
Half Precision Score
58788
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 03:06 PM |
| 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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
18498
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
24647
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23862
386.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33430
541.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10988
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
176584
206.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
332960
390.2 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
18214
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26848
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4844
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
47106
559.7 IPS |
|
|
Face Detection (Q)
|
100% |
66370
788.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9148
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110880
854.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
185632
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
27623
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
272058
349.7 IPS |
|
|
Style Transfer (Q)
|
96% |
374026
482.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5949
219.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63976
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
105174
3.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
6689
8.93 KIPS |
|
|
Text Classification (Q)
|
93% |
7543
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5022
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17784
306.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18311
316.4 IPS |
