MacBook Pro (14-inch, 2021)
Geekbench AI Score
8909
Single Precision Score
9817
Half Precision Score
8680
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | February 20 2026 03:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
3678
684.1 IPS |
|
|
Image Classification (HP)
|
100% |
3759
699.0 IPS |
|
|
Image Classification (Q)
|
94% |
3572
667.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6783
110.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6807
110.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6507
105.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29848
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32306
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31183
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3698
293.3 IPS |
|
|
Object Detection (HP)
|
100% |
3820
303.0 IPS |
|
|
Object Detection (Q)
|
91% |
3634
290.5 IPS |
|
|
Face Detection (SP)
|
100% |
13621
161.8 IPS |
|
|
Face Detection (HP)
|
100% |
14033
166.7 IPS |
|
|
Face Detection (Q)
|
100% |
12766
151.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17397
134.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16513
127.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
15535
121.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50273
64.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59664
76.7 IPS |
|
|
Style Transfer (Q)
|
96% |
58144
75.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10335
381.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10862
401.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9575
353.6 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4209
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4139
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3946
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4168
71.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2018
34.9 IPS |
