MacBook Pro (16-inch, 2021)
Geekbench AI Score
9001
Single Precision Score
9973
Half Precision Score
9092
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | sanchorubyroid |
| Upload Date | March 11 2026 05:21 PM |
| Views | 8 |
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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4023
748.1 IPS |
|
|
Image Classification (HP)
|
100% |
4160
773.7 IPS |
|
|
Image Classification (Q)
|
94% |
3969
741.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7370
119.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7535
122.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7163
116.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32617
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
36022
42.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34557
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3812
302.4 IPS |
|
|
Object Detection (HP)
|
100% |
3954
313.6 IPS |
|
|
Object Detection (Q)
|
91% |
3909
312.4 IPS |
|
|
Face Detection (SP)
|
100% |
14647
174.0 IPS |
|
|
Face Detection (HP)
|
100% |
15360
182.5 IPS |
|
|
Face Detection (Q)
|
100% |
13815
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
19562
150.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19010
146.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
17314
135.4 IPS |
|
|
Style Transfer (SP)
|
100% |
53139
68.3 IPS |
|
|
Style Transfer (HP)
|
100% |
63434
81.5 IPS |
|
|
Style Transfer (Q)
|
96% |
62986
81.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10615
392.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11448
422.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9911
366.0 IPS |
|
|
Text Classification (SP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4269
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4226
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1593
27.5 IPS |
