MacBook Pro (16-inch, 2021)
Geekbench AI Score
3633
Single Precision Score
5746
Half Precision Score
4668
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 16 2025 04:37 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
246.9 IPS |
|
|
Image Classification (HP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (Q)
|
96% |
1480
276.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2223
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2567
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11015
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22187
25.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17304
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2291
182.4 IPS |
|
|
Object Detection (Q)
|
94% |
1714
136.6 IPS |
|
|
Face Detection (SP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
5059
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
3015
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5667
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9857
76.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6982
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21693
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31480
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26803
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4285
158.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4041
149.2 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3950
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4801
83.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4843
83.7 IPS |
