MacBook Pro (16-inch, 2021)
Geekbench AI Score
11035
Single Precision Score
12351
Half Precision Score
9851
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rubicon |
| Upload Date | February 02 2025 04:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5192
965.6 IPS |
|
|
Image Classification (HP)
|
100% |
5202
967.3 IPS |
|
|
Image Classification (Q)
|
99% |
5327
993.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10117
164.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10441
169.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
10459
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
57096
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60587
70.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
53799
63.0 IPS |
|
|
Object Detection (SP)
|
100% |
4362
346.0 IPS |
|
|
Object Detection (HP)
|
100% |
5483
435.0 IPS |
|
|
Object Detection (Q)
|
91% |
4746
379.3 IPS |
|
|
Face Detection (SP)
|
100% |
21820
259.3 IPS |
|
|
Face Detection (HP)
|
100% |
22790
270.8 IPS |
|
|
Face Detection (Q)
|
100% |
16182
192.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26657
205.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27662
213.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
6432
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
97119
124.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121336
156.0 IPS |
|
|
Style Transfer (Q)
|
100% |
120896
155.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17006
627.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17023
628.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13701
507.6 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3831
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
908
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
916
15.8 IPS |
