MacBook Pro (16-inch, 2021)
Geekbench AI Score
3416
Single Precision Score
16063
Half Precision Score
16094
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | katzecz |
| Upload Date | April 05 2025 11:29 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1339
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
6895
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6654
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9705
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9390
152.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11322
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
70519
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66090
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
7988
635.4 IPS |
|
|
Object Detection (Q)
|
91% |
7517
600.6 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
16093
191.2 IPS |
|
|
Face Detection (Q)
|
100% |
15104
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5839
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51737
398.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
54322
424.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18700
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121901
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116693
150.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3691
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24015
886.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25844
954.3 IPS |
|
|
Text Classification (SP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3338
4.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3900
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3894
67.3 IPS |
