Mac17,2
Geekbench AI Score
13629
Single Precision Score
25581
Half Precision Score
24453
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 17 2025 10:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6295
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11191
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
9910
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10206
165.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16748
271.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17238
279.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
39513
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
103388
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
111565
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
6451
511.7 IPS |
|
|
Object Detection (HP)
|
100% |
11796
935.6 IPS |
|
|
Object Detection (Q)
|
93% |
10135
808.5 IPS |
|
|
Face Detection (SP)
|
100% |
18564
220.6 IPS |
|
|
Face Detection (HP)
|
100% |
34139
405.6 IPS |
|
|
Face Detection (Q)
|
100% |
26612
316.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28625
220.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55715
429.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
53273
415.9 IPS |
|
|
Style Transfer (SP)
|
100% |
81696
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
190040
244.3 IPS |
|
|
Style Transfer (Q)
|
96% |
210537
271.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16175
597.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33209
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30239
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
6324
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7886
135.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7870
136.0 IPS |
