Mac17,2
Geekbench AI Score
5009
Single Precision Score
8333
Half Precision Score
6644
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 19 2026 02:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2233
415.3 IPS |
|
|
Image Classification (HP)
|
100% |
3613
671.8 IPS |
|
|
Image Classification (Q)
|
96% |
2396
447.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3396
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3690
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10376
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19594
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17180
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2614
207.3 IPS |
|
|
Object Detection (HP)
|
97% |
4039
321.6 IPS |
|
|
Object Detection (Q)
|
94% |
2841
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
4399
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
8178
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
4625
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8878
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14543
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10274
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24163
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39826
51.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32868
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5410
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7123
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4895
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5778
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5688
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4732
81.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8538
147.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8933
154.4 IPS |
