MacBook Pro (14-inch, 2021)
Geekbench AI Score
3612
Single Precision Score
15334
Half Precision Score
15100
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | January 17 2026 10:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
5917
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5679
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1500
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9179
148.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9853
159.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10459
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
67476
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
62296
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
6977
555.0 IPS |
|
|
Object Detection (Q)
|
91% |
6502
519.5 IPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
12945
153.8 IPS |
|
|
Face Detection (Q)
|
100% |
12229
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
44457
342.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
46372
362.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22096
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118128
151.9 IPS |
|
|
Style Transfer (Q)
|
96% |
108316
139.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4110
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23883
881.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25505
941.8 IPS |
|
|
Text Classification (SP)
|
100% |
2370
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4168
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4110
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3004
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4155
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4223
73.0 IPS |
