MacBook Pro (16-inch, 2021)
Geekbench AI Score
8645
Single Precision Score
9427
Half Precision Score
8610
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | sfederman |
| Upload Date | August 23 2024 12:19 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
4669
868.4 IPS |
|
|
Image Classification (HP)
|
100% |
4754
884.0 IPS |
|
|
Image Classification (Q)
|
99% |
4030
751.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9219
149.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9563
155.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
9025
146.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
55997
65.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59319
69.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
51694
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
4810
381.5 IPS |
|
|
Object Detection (HP)
|
100% |
4935
391.4 IPS |
|
|
Object Detection (Q)
|
92% |
3939
314.4 IPS |
|
|
Face Detection (SP)
|
100% |
17615
209.3 IPS |
|
|
Face Detection (HP)
|
100% |
18482
219.6 IPS |
|
|
Face Detection (Q)
|
100% |
13195
156.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25560
196.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
26284
202.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
26453
204.5 IPS |
|
|
Style Transfer (SP)
|
100% |
95174
122.3 IPS |
|
|
Style Transfer (HP)
|
100% |
118406
152.2 IPS |
|
|
Style Transfer (Q)
|
100% |
115712
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16821
621.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17395
642.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12975
480.7 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.9 IPS |
|
|
Text Classification (HP)
|
100% |
474
632.4 IPS |
|
|
Text Classification (Q)
|
93% |
641
859.8 IPS |
|
|
Machine Translation (SP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
901
15.6 IPS |
