MacBook Pro (14-inch, 2021)
Geekbench AI Score
3613
Single Precision Score
16479
Half Precision Score
16334
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | caramelbeard |
| Upload Date | December 05 2025 01:18 AM |
| Views | 14 |
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% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
6600
1.23 KIPS |
|
|
Image Classification (Q)
|
96% |
5927
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1507
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9361
151.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10040
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10645
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
68777
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
62337
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
99% |
7138
567.8 IPS |
|
|
Object Detection (Q)
|
91% |
7204
575.7 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
13448
159.8 IPS |
|
|
Face Detection (Q)
|
100% |
13088
155.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5687
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48971
377.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
51204
400.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22127
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117589
151.2 IPS |
|
|
Style Transfer (Q)
|
96% |
112305
144.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4108
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25942
957.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26872
992.2 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4122
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3000
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5717
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6071
104.9 IPS |
