MacBook Pro (16-inch, 2021)
Geekbench AI Score
3619
Single Precision Score
13021
Half Precision Score
13069
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ivanpagac |
| Upload Date | March 04 2026 08:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,1 |
| Motherboard | MacBookPro18,1 |
| 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% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
4920
914.9 IPS |
|
|
Image Classification (Q)
|
96% |
4213
786.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8000
129.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9187
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10500
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
62196
72.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
61925
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
6470
514.7 IPS |
|
|
Object Detection (Q)
|
91% |
6456
515.8 IPS |
|
|
Face Detection (SP)
|
100% |
3278
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
11332
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
11475
136.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5698
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33119
255.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
32775
256.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22213
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
100741
129.5 IPS |
|
|
Style Transfer (Q)
|
96% |
98945
127.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4108
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14890
549.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16177
597.3 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4221
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4237
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3007
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3684
63.7 IPS |
