MacBook Pro (16-inch, 2021)
Geekbench AI Score
9402
Single Precision Score
10399
Half Precision Score
9662
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | skemez1 |
| Upload Date | March 15 2026 03:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4106
763.5 IPS |
|
|
Image Classification (HP)
|
100% |
4267
793.4 IPS |
|
|
Image Classification (Q)
|
94% |
4007
748.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7386
119.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7589
123.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7197
116.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32652
38.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
35811
41.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
34764
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
4094
324.7 IPS |
|
|
Object Detection (HP)
|
100% |
4158
329.8 IPS |
|
|
Object Detection (Q)
|
91% |
3922
313.5 IPS |
|
|
Face Detection (SP)
|
100% |
14749
175.2 IPS |
|
|
Face Detection (HP)
|
100% |
15440
183.5 IPS |
|
|
Face Detection (Q)
|
100% |
13971
166.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18553
142.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18337
141.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17692
138.3 IPS |
|
|
Style Transfer (SP)
|
100% |
53744
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
64342
82.7 IPS |
|
|
Style Transfer (Q)
|
96% |
63048
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10735
396.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11735
433.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9897
365.5 IPS |
|
|
Text Classification (SP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4203
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4170
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2806
48.5 IPS |
