Mac17,2
Geekbench AI Score
13858
Single Precision Score
26083
Half Precision Score
26315
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Kingtona123 |
| Upload Date | February 24 2026 11:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
6305
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10983
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
10695
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10284
166.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17157
278.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17000
275.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39626
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103348
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
130761
153.3 IPS |
|
|
Object Detection (SP)
|
100% |
6504
515.9 IPS |
|
|
Object Detection (HP)
|
100% |
12093
959.2 IPS |
|
|
Object Detection (Q)
|
94% |
11880
947.2 IPS |
|
|
Face Detection (SP)
|
100% |
19383
230.3 IPS |
|
|
Face Detection (HP)
|
100% |
36679
435.8 IPS |
|
|
Face Detection (Q)
|
100% |
34118
405.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28641
220.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56987
439.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
56969
444.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81661
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
188530
242.4 IPS |
|
|
Style Transfer (Q)
|
96% |
223688
288.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16031
592.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32667
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30408
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5525
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
7070
121.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8704
149.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7809
134.9 IPS |
