MacBook Pro (16-inch, 2021)
Geekbench AI Score
3588
Single Precision Score
16308
Half Precision Score
16239
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | toothpaste |
| Upload Date | November 25 2024 10:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1284
238.8 IPS |
|
|
Image Classification (HP)
|
100% |
6774
1.26 KIPS |
|
|
Image Classification (Q)
|
96% |
6544
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9752
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10466
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10502
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
70226
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66549
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1484
117.7 IPS |
|
|
Object Detection (HP)
|
99% |
7901
628.5 IPS |
|
|
Object Detection (Q)
|
91% |
7475
597.2 IPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
16111
191.4 IPS |
|
|
Face Detection (Q)
|
100% |
15019
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5579
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50911
392.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
53536
418.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20870
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119894
154.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115905
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4173
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25830
953.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27900
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3909
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3683
63.6 IPS |
