MacBook Pro (16-inch, 2021)
Geekbench AI Score
8882
Single Precision Score
9738
Half Precision Score
9086
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | deepakdpk6 |
| Upload Date | June 20 2025 04:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4126
767.4 IPS |
|
|
Image Classification (HP)
|
100% |
4120
766.2 IPS |
|
|
Image Classification (Q)
|
96% |
3935
734.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7355
119.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7499
121.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7090
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
32839
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
36039
42.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
34806
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
3927
311.5 IPS |
|
|
Object Detection (HP)
|
100% |
4172
330.9 IPS |
|
|
Object Detection (Q)
|
92% |
3808
304.0 IPS |
|
|
Face Detection (SP)
|
100% |
13889
165.0 IPS |
|
|
Face Detection (HP)
|
100% |
14742
175.2 IPS |
|
|
Face Detection (Q)
|
100% |
12629
150.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19899
153.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18995
146.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
17355
135.6 IPS |
|
|
Style Transfer (SP)
|
100% |
53905
69.3 IPS |
|
|
Style Transfer (HP)
|
100% |
64793
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
63323
81.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10863
401.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11657
430.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10017
369.9 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4011
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2109
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1860
32.2 IPS |
