MacBook Pro (16-inch, 2021)
Geekbench AI Score
9463
Single Precision Score
9609
Half Precision Score
9214
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | wolemacintosha |
| Upload Date | March 15 2026 12:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4013
746.2 IPS |
|
|
Image Classification (HP)
|
100% |
4065
755.9 IPS |
|
|
Image Classification (Q)
|
94% |
3876
724.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7336
118.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7477
121.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7125
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32915
38.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
36016
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34712
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3951
313.4 IPS |
|
|
Object Detection (HP)
|
100% |
4052
321.4 IPS |
|
|
Object Detection (Q)
|
91% |
3871
309.4 IPS |
|
|
Face Detection (SP)
|
100% |
14471
171.9 IPS |
|
|
Face Detection (HP)
|
100% |
15152
180.0 IPS |
|
|
Face Detection (Q)
|
100% |
13808
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19876
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18916
145.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
17611
137.7 IPS |
|
|
Style Transfer (SP)
|
100% |
54168
69.6 IPS |
|
|
Style Transfer (HP)
|
100% |
64565
83.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63245
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10642
393.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11362
419.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9922
366.4 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3814
65.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1898
32.8 IPS |
