Mac17,2
Geekbench AI Score
5333
Single Precision Score
8680
Half Precision Score
6908
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ashtonraethel |
| Upload Date | February 08 2026 10:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2306
428.8 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.5 IPS |
|
|
Image Classification (Q)
|
96% |
2504
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3570
57.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3896
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11306
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20817
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17871
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (HP)
|
97% |
4191
333.6 IPS |
|
|
Object Detection (Q)
|
94% |
2966
236.4 IPS |
|
|
Face Detection (SP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8601
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
4823
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15284
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10650
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27366
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41535
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33966
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6008
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7221
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5187
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5639
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5642
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9520
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9386
162.2 IPS |
