Mac17,2
Geekbench AI Score
13631
Single Precision Score
25523
Half Precision Score
24370
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 04:58 AM |
| Views | 6 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6269
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10877
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
9851
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10226
165.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16759
271.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17224
279.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
39602
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103233
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
111283
130.4 IPS |
|
|
Object Detection (SP)
|
100% |
6448
511.4 IPS |
|
|
Object Detection (HP)
|
100% |
11740
931.2 IPS |
|
|
Object Detection (Q)
|
93% |
10073
803.6 IPS |
|
|
Face Detection (SP)
|
100% |
18401
218.6 IPS |
|
|
Face Detection (HP)
|
100% |
34083
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
26264
312.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28538
219.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55639
428.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
52938
413.3 IPS |
|
|
Style Transfer (SP)
|
100% |
81994
105.4 IPS |
|
|
Style Transfer (HP)
|
100% |
190788
245.3 IPS |
|
|
Style Transfer (Q)
|
96% |
210724
271.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16243
599.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33218
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30134
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3068
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5629
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5599
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6306
108.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7851
135.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7861
135.8 IPS |
