MacBook Pro (16-inch, 2021)
Geekbench AI Score
3578
Single Precision Score
16398
Half Precision Score
16192
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 08 2024 06:11 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.0 IPS |
|
|
Image Classification (HP)
|
100% |
6753
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6384
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9799
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10584
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
72076
84.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
68122
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (HP)
|
99% |
7858
625.1 IPS |
|
|
Object Detection (Q)
|
91% |
7265
580.5 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16098
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
15264
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5682
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51662
398.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53132
415.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21341
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121608
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116455
150.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4197
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25781
952.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27667
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3876
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3709
64.1 IPS |
