MacBook Pro (14-inch, 2021)
Geekbench AI Score
6990
Single Precision Score
7757
Half Precision Score
6854
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jone30rw |
| Upload Date | March 07 2025 03:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 2.44 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3729
693.5 IPS |
|
|
Image Classification (HP)
|
100% |
3784
703.7 IPS |
|
|
Image Classification (Q)
|
97% |
3146
587.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5814
94.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5858
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5850
94.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29540
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31277
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
29074
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3281
260.3 IPS |
|
|
Object Detection (HP)
|
100% |
3647
289.2 IPS |
|
|
Object Detection (Q)
|
91% |
3220
257.3 IPS |
|
|
Face Detection (SP)
|
100% |
13019
154.7 IPS |
|
|
Face Detection (HP)
|
100% |
13394
159.1 IPS |
|
|
Face Detection (Q)
|
100% |
9583
113.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17317
133.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17786
137.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
14989
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
50109
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
58940
75.8 IPS |
|
|
Style Transfer (Q)
|
96% |
55059
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10318
381.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10793
398.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8464
312.5 IPS |
|
|
Text Classification (SP)
|
100% |
1958
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3293
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
603
10.4 IPS |
