MacBook Pro (14-inch, 2021)
Geekbench AI Score
3604
Single Precision Score
15833
Half Precision Score
15639
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | yusryprince |
| Upload Date | October 20 2025 06:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
6038
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5794
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9347
151.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9896
160.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10542
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
66854
78.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
62443
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
6942
552.2 IPS |
|
|
Object Detection (Q)
|
91% |
6598
527.2 IPS |
|
|
Face Detection (SP)
|
100% |
3264
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
13043
155.0 IPS |
|
|
Face Detection (Q)
|
100% |
12294
146.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5704
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44678
344.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
46167
360.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22167
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
115192
148.1 IPS |
|
|
Style Transfer (Q)
|
96% |
109128
140.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3948
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25494
941.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26140
965.2 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4236
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4185
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2993
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5215
89.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5470
94.5 IPS |
