Mac17,2
Geekbench AI Score
5250
Single Precision Score
42566
Half Precision Score
59187
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 20 2025 04:53 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
18874
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
25980
4.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24343
394.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
34076
552.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10623
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
178410
208.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
329435
386.1 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
18887
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26693
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
46770
555.7 IPS |
|
|
Face Detection (Q)
|
100% |
66792
793.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
112798
869.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
189427
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
26889
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
273002
350.9 IPS |
|
|
Style Transfer (Q)
|
96% |
374843
483.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64578
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102899
3.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
7422
9.91 KIPS |
|
|
Text Classification (Q)
|
93% |
7461
10.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
4800
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
18275
314.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18613
321.6 IPS |
