MacBook Pro (14-inch, 2021)
Geekbench AI Score
3742
Single Precision Score
14730
Half Precision Score
14600
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | LKJ7tud10 |
| Upload Date | October 21 2024 07:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| 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% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
6873
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6546
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6497
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6760
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11103
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70806
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67345
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
99% |
7896
628.1 IPS |
|
|
Object Detection (Q)
|
91% |
7418
592.7 IPS |
|
|
Face Detection (SP)
|
100% |
3230
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16164
192.1 IPS |
|
|
Face Detection (Q)
|
100% |
15063
179.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5903
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51264
395.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53791
420.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22371
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120598
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116148
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4333
160.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25832
953.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28203
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1901
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1890
32.7 IPS |
