MacBook Pro (14-inch, 2021)
Geekbench AI Score
3727
Single Precision Score
16391
Half Precision Score
16336
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tss6147 |
| Upload Date | February 01 2025 10:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
6972
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6720
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9625
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10345
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11118
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70393
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66064
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
7878
626.7 IPS |
|
|
Object Detection (Q)
|
91% |
7511
600.1 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
16025
190.4 IPS |
|
|
Face Detection (Q)
|
100% |
14844
176.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5818
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51838
399.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
53214
415.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22161
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121206
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116379
150.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4340
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25697
948.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28292
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4006
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3952
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3631
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3818
66.0 IPS |
