MacBook Pro (16-inch, 2021)
Geekbench AI Score
3512
Single Precision Score
15366
Half Precision Score
15306
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | sanchorubyroid |
| Upload Date | March 11 2026 05:05 PM |
| Views | 6 |
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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.6 IPS |
|
|
Image Classification (HP)
|
100% |
5677
1.06 KIPS |
|
|
Image Classification (Q)
|
96% |
5592
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9057
146.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9618
155.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10502
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
69205
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65193
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
99% |
6713
534.0 IPS |
|
|
Object Detection (Q)
|
91% |
6477
517.6 IPS |
|
|
Face Detection (SP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
12720
151.1 IPS |
|
|
Face Detection (Q)
|
100% |
12231
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5475
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44530
343.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
46142
360.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21864
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
116084
149.2 IPS |
|
|
Style Transfer (Q)
|
96% |
109801
141.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4114
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24553
906.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25863
955.0 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2924
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4615
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4768
82.4 IPS |
