Mac17,2
Geekbench AI Score
5335
Single Precision Score
42038
Half Precision Score
58508
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | harman767 |
| Upload Date | January 05 2026 12:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2289
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
18576
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
24803
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24021
389.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33198
538.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11216
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
177671
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
333478
390.9 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
18895
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
27242
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
47336
562.5 IPS |
|
|
Face Detection (Q)
|
100% |
66875
794.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9085
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111674
860.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
184069
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27176
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
271757
349.3 IPS |
|
|
Style Transfer (Q)
|
96% |
374828
483.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63667
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101175
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3068
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
7079
9.45 KIPS |
|
|
Text Classification (Q)
|
93% |
7092
9.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17774
306.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18982
328.0 IPS |
