MacBook Pro (14-inch, 2021)
Geekbench AI Score
8849
Single Precision Score
9669
Half Precision Score
8662
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | CatCat |
| Upload Date | February 17 2026 07:27 PM |
| Views | 6 |
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% |
3702
688.5 IPS |
|
|
Image Classification (HP)
|
100% |
3797
706.0 IPS |
|
|
Image Classification (Q)
|
94% |
3565
666.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6798
110.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6808
110.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6499
105.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29810
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32337
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31203
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3687
292.5 IPS |
|
|
Object Detection (HP)
|
100% |
3846
305.1 IPS |
|
|
Object Detection (Q)
|
91% |
3676
293.8 IPS |
|
|
Face Detection (SP)
|
100% |
13592
161.5 IPS |
|
|
Face Detection (HP)
|
100% |
14179
168.5 IPS |
|
|
Face Detection (Q)
|
100% |
12804
152.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17363
133.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16553
127.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
15539
121.5 IPS |
|
|
Style Transfer (SP)
|
100% |
49960
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
59719
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58291
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10293
380.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10935
403.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9532
352.0 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4092
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1980
34.2 IPS |
