MacBook Pro (16-inch, 2021)
Geekbench AI Score
3749
Single Precision Score
5891
Half Precision Score
4724
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | crisrich58 |
| Upload Date | February 12 2025 05:05 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.11 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.8 IPS |
|
|
Image Classification (Q)
|
96% |
1451
270.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2651
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11096
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22305
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17531
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
97% |
2383
189.7 IPS |
|
|
Object Detection (Q)
|
94% |
1741
138.8 IPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5315
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3047
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5778
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10568
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7155
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22845
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35160
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26855
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4467
165.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6401
236.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4140
152.9 IPS |
|
|
Text Classification (SP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3892
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4107
71.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4960
85.7 IPS |
