Mac17,2
Geekbench AI Score
5354
Single Precision Score
42194
Half Precision Score
58743
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Haitao |
| Upload Date | December 14 2025 08:43 AM |
| Views | 4 |
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, 8 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
18747
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
24755
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24248
393.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33476
542.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11020
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
176631
206.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
329959
386.7 IPS |
|
|
Object Detection (SP)
|
100% |
2717
215.5 IPS |
|
|
Object Detection (HP)
|
100% |
19299
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26999
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4889
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
46812
556.2 IPS |
|
|
Face Detection (Q)
|
100% |
68369
812.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9234
71.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
113038
870.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
186870
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
27681
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
272372
350.1 IPS |
|
|
Style Transfer (Q)
|
96% |
374232
482.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5939
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65739
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104509
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3075
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
7019
9.37 KIPS |
|
|
Text Classification (Q)
|
93% |
7195
9.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17359
299.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18435
318.6 IPS |
