MacBook Pro (16-inch, 2021)
Geekbench AI Score
3754
Single Precision Score
16393
Half Precision Score
16337
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | klflv |
| Upload Date | November 20 2024 02:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1302
242.2 IPS |
|
|
Image Classification (HP)
|
100% |
6751
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6569
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9720
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10334
167.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11103
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70274
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65854
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
7904
628.8 IPS |
|
|
Object Detection (Q)
|
91% |
7402
591.5 IPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
15873
188.6 IPS |
|
|
Face Detection (Q)
|
100% |
15224
180.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6025
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52334
403.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53987
421.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22603
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120723
155.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116330
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25846
954.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28074
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3791
65.5 IPS |
