Mac17,2
Geekbench AI Score
13802
Single Precision Score
26111
Half Precision Score
26308
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | February 14 2026 01:32 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6313
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11103
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
10730
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10200
165.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17098
277.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17036
276.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
39571
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
102903
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
130262
152.7 IPS |
|
|
Object Detection (SP)
|
100% |
6479
513.9 IPS |
|
|
Object Detection (HP)
|
100% |
12036
954.7 IPS |
|
|
Object Detection (Q)
|
94% |
11933
951.5 IPS |
|
|
Face Detection (SP)
|
100% |
18935
225.0 IPS |
|
|
Face Detection (HP)
|
100% |
36321
431.6 IPS |
|
|
Face Detection (Q)
|
100% |
33715
400.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28571
220.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56527
435.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
56697
442.7 IPS |
|
|
Style Transfer (SP)
|
100% |
81192
104.4 IPS |
|
|
Style Transfer (HP)
|
100% |
188574
242.4 IPS |
|
|
Style Transfer (Q)
|
96% |
223453
288.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16045
592.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32754
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30127
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3075
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5719
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5613
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
7012
120.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8640
148.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7740
133.7 IPS |
