Mac17,2
Geekbench AI Score
5385
Single Precision Score
42450
Half Precision Score
60372
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 06 2026 04:30 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 4.26 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2209
410.8 IPS |
|
|
Image Classification (HP)
|
100% |
18916
3.52 KIPS |
|
|
Image Classification (Q)
|
97% |
27811
5.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2388
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24589
398.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
35635
577.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9258
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
170784
199.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
316828
371.3 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.5 IPS |
|
|
Object Detection (HP)
|
100% |
20278
1.61 KIPS |
|
|
Object Detection (Q)
|
89% |
28426
2.28 KIPS |
|
|
Face Detection (SP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
49120
583.7 IPS |
|
|
Face Detection (Q)
|
100% |
77309
918.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8583
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
112652
867.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
200866
1.57 KIPS |
|
|
Style Transfer (SP)
|
100% |
23832
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
268878
345.6 IPS |
|
|
Style Transfer (Q)
|
96% |
341039
440.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5616
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64530
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102410
3.78 KIPS |
|
|
Text Classification (SP)
|
100% |
5841
7.80 KIPS |
|
|
Text Classification (HP)
|
100% |
6679
8.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6905
9.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5045
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18397
316.9 IPS |
|
|
Machine Translation (Q)
|
98% |
19245
332.6 IPS |
