Mac17,2
Geekbench AI Score
12519
Single Precision Score
23750
Half Precision Score
22573
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | andrewdkim11 |
| Upload Date | November 21 2025 06:08 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5442
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
9213
1.71 KIPS |
|
|
Image Classification (Q)
|
97% |
8177
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9386
152.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16674
270.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17243
279.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
37760
44.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
95990
112.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103682
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
5913
469.0 IPS |
|
|
Object Detection (HP)
|
100% |
11601
920.2 IPS |
|
|
Object Detection (Q)
|
93% |
9908
790.4 IPS |
|
|
Face Detection (SP)
|
100% |
16341
194.2 IPS |
|
|
Face Detection (HP)
|
100% |
30737
365.2 IPS |
|
|
Face Detection (Q)
|
100% |
24022
285.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27028
208.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51050
393.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
48812
381.1 IPS |
|
|
Style Transfer (SP)
|
100% |
77351
99.4 IPS |
|
|
Style Transfer (HP)
|
100% |
177896
228.7 IPS |
|
|
Style Transfer (Q)
|
96% |
196236
253.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15452
570.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29539
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29884
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
99% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5434
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
5384
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7105
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6348
109.7 IPS |
