Mac17,2
Geekbench AI Score
5271
Single Precision Score
41126
Half Precision Score
57290
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | January 23 2026 11:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2262
420.6 IPS |
|
|
Image Classification (HP)
|
100% |
17408
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25710
4.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24181
392.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
33300
539.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11015
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
177691
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
332394
389.6 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
18338
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26864
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4744
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
46749
555.5 IPS |
|
|
Face Detection (Q)
|
100% |
66064
785.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9089
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110119
848.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
179477
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27515
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
270466
347.7 IPS |
|
|
Style Transfer (Q)
|
96% |
371586
479.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5938
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65813
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
96469
3.56 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6375
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6320
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4928
84.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17274
297.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18548
320.5 IPS |
