MacBook Pro (16-inch, 2021)
Geekbench AI Score
3727
Single Precision Score
15844
Half Precision Score
15767
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:20 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
6530
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6193
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9489
153.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10080
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11152
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
69433
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65393
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
7549
600.5 IPS |
|
|
Object Detection (Q)
|
91% |
7069
564.8 IPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
14863
176.6 IPS |
|
|
Face Detection (Q)
|
100% |
14230
169.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5933
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
49773
383.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
52400
409.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22480
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119295
153.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114821
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4362
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25966
958.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27994
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4063
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3296
56.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3380
58.4 IPS |
