MacBook Pro (16-inch, 2021)
Geekbench AI Score
3617
Single Precision Score
15537
Half Precision Score
15337
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wolemacintosha |
| Upload Date | March 15 2026 12:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
5862
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5671
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9147
148.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9698
157.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10506
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
67437
78.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
62292
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
6742
536.3 IPS |
|
|
Object Detection (Q)
|
91% |
6387
510.4 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
12859
152.8 IPS |
|
|
Face Detection (Q)
|
100% |
12235
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44505
342.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
44772
349.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22121
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
112621
144.8 IPS |
|
|
Style Transfer (Q)
|
96% |
107186
138.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4131
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23548
869.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25039
924.6 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4136
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5358
92.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5546
95.8 IPS |
