Mac17,2
Geekbench AI Score
5329
Single Precision Score
42178
Half Precision Score
59502
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | January 22 2026 09:33 AM |
| Views | 8 |
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 | 4.54 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2269
422.0 IPS |
|
|
Image Classification (HP)
|
100% |
19080
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
26189
4.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24808
402.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
34037
551.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11284
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
179129
209.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
334719
392.3 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
18989
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27512
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
47485
564.2 IPS |
|
|
Face Detection (Q)
|
100% |
68274
811.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9146
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111590
859.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
194004
1.52 KIPS |
|
|
Style Transfer (SP)
|
100% |
26698
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
270304
347.5 IPS |
|
|
Style Transfer (Q)
|
96% |
374110
482.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64434
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101850
3.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
6703
8.95 KIPS |
|
|
Text Classification (Q)
|
93% |
7277
9.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5037
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17893
308.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18455
318.9 IPS |
