MacBook Pro (14-inch, 2021)
Geekbench AI Score
3743
Single Precision Score
16317
Half Precision Score
16262
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Zedd |
| Upload Date | November 07 2025 05:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
6278
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5997
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9433
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10110
163.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10487
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69456
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65349
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
99% |
7171
570.5 IPS |
|
|
Object Detection (Q)
|
91% |
6868
548.8 IPS |
|
|
Face Detection (SP)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
13481
160.2 IPS |
|
|
Face Detection (Q)
|
100% |
12982
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
46017
354.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
47975
374.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22811
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
117926
151.6 IPS |
|
|
Style Transfer (Q)
|
96% |
112344
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4432
163.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25456
940.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26702
986.0 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4069
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3079
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5921
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6255
108.1 IPS |
