MacBook Pro (16-inch, 2021)
Geekbench AI Score
3685
Single Precision Score
15885
Half Precision Score
15518
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | firecall |
| Upload Date | January 04 2025 02:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1320
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
6539
1.22 KIPS |
|
|
Image Classification (Q)
|
96% |
6164
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9436
153.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10125
164.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11035
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71383
83.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67551
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
7566
601.9 IPS |
|
|
Object Detection (Q)
|
91% |
7151
571.4 IPS |
|
|
Face Detection (SP)
|
100% |
3101
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
14971
177.9 IPS |
|
|
Face Detection (Q)
|
100% |
12027
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5922
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50143
386.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
52657
411.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22050
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121215
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116116
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4307
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25861
954.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27897
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3954
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3875
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3300
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3381
58.4 IPS |
