MacBook Pro (16-inch, 2021)
Geekbench AI Score
3433
Single Precision Score
15591
Half Precision Score
15597
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kwandrews |
| Upload Date | March 20 2025 06:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
6399
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6206
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9271
150.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9904
160.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10307
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70425
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67575
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
99% |
7354
585.0 IPS |
|
|
Object Detection (Q)
|
91% |
7038
562.3 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
14852
176.5 IPS |
|
|
Face Detection (Q)
|
100% |
13963
165.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5349
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49767
383.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
52177
407.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20373
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119087
153.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115827
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4099
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24967
921.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27090
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3598
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3581
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2963
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3561
61.5 IPS |
