MacBook Pro (16-inch, 2021)
Geekbench AI Score
3731
Single Precision Score
15299
Half Precision Score
15848
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rubicon |
| Upload Date | February 02 2025 04:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
6856
1.28 KIPS |
|
|
Image Classification (Q)
|
99% |
7463
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8201
132.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
8181
132.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11061
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69107
80.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
66082
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
7465
593.8 IPS |
|
|
Object Detection (Q)
|
91% |
7451
595.3 IPS |
|
|
Face Detection (SP)
|
100% |
3354
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
12075
143.5 IPS |
|
|
Face Detection (Q)
|
100% |
13488
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5856
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45450
350.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
49308
381.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22506
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
116728
150.1 IPS |
|
|
Style Transfer (Q)
|
100% |
121897
156.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4297
158.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26020
960.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27541
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3840
66.4 IPS |
