MacBook Pro (16-inch, 2021)
Geekbench AI Score
3663
Single Precision Score
16482
Half Precision Score
16408
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | May 27 2025 02:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
6939
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6631
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10441
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11097
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70179
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
67818
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
8065
641.5 IPS |
|
|
Object Detection (Q)
|
91% |
7560
604.1 IPS |
|
|
Face Detection (SP)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
16089
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15010
178.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51599
397.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53377
417.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21916
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121102
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115765
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26102
963.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28004
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3843
66.4 IPS |
