MacBook Pro (16-inch, 2021)
Geekbench AI Score
3673
Single Precision Score
16483
Half Precision Score
16458
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | February 27 2026 12:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
6895
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6612
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9710
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10445
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11114
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69645
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67341
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
8010
637.2 IPS |
|
|
Object Detection (Q)
|
91% |
7510
600.1 IPS |
|
|
Face Detection (SP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
16211
192.6 IPS |
|
|
Face Detection (Q)
|
100% |
15122
179.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5824
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52306
403.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53965
421.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22042
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121906
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116693
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4349
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25782
952.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28654
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3869
66.9 IPS |
