MacBook Pro (16-inch, 2021)
Geekbench AI Score
3622
Single Precision Score
16003
Half Precision Score
15818
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 10:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
6031
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5780
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9225
149.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9877
160.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10484
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
66897
78.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
62223
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
6994
556.4 IPS |
|
|
Object Detection (Q)
|
91% |
6605
527.8 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
13173
156.5 IPS |
|
|
Face Detection (Q)
|
100% |
12564
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5685
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
46087
355.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47306
369.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22231
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
116104
149.3 IPS |
|
|
Style Transfer (Q)
|
96% |
109362
141.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24840
917.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25718
949.7 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4257
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4225
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2993
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5679
97.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5921
102.3 IPS |
