MacBook Pro (16-inch, 2021)
Geekbench AI Score
8513
Single Precision Score
9492
Half Precision Score
8351
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Hulkstern |
| Upload Date | March 11 2025 10:17 AM |
| Views | 3 |
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 (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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4201
781.3 IPS |
|
|
Image Classification (HP)
|
100% |
4376
813.8 IPS |
|
|
Image Classification (Q)
|
97% |
3693
689.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6446
104.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6604
107.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6529
105.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32947
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35121
41.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
32615
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
4064
322.3 IPS |
|
|
Object Detection (HP)
|
100% |
4246
336.8 IPS |
|
|
Object Detection (Q)
|
91% |
3609
288.4 IPS |
|
|
Face Detection (SP)
|
100% |
14129
167.9 IPS |
|
|
Face Detection (HP)
|
100% |
14807
175.9 IPS |
|
|
Face Detection (Q)
|
100% |
10594
125.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20400
157.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21421
165.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
18160
141.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54160
69.6 IPS |
|
|
Style Transfer (HP)
|
100% |
64020
82.3 IPS |
|
|
Style Transfer (Q)
|
96% |
60309
77.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11261
415.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11868
438.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9170
338.6 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1398
24.2 IPS |
