MacBook Pro (14-inch, 2021)
Geekbench AI Score
9258
Single Precision Score
10319
Half Precision Score
9259
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ksnyde |
| Upload Date | November 10 2024 10:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 3.02 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4145
770.8 IPS |
|
|
Image Classification (HP)
|
100% |
4606
856.5 IPS |
|
|
Image Classification (Q)
|
97% |
3771
703.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8694
140.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8593
139.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8652
140.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
46204
53.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
49346
57.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
45603
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
3409
270.4 IPS |
|
|
Object Detection (HP)
|
100% |
3825
303.4 IPS |
|
|
Object Detection (Q)
|
91% |
3971
317.3 IPS |
|
|
Face Detection (SP)
|
100% |
15275
181.5 IPS |
|
|
Face Detection (HP)
|
100% |
17448
207.3 IPS |
|
|
Face Detection (Q)
|
100% |
12912
153.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22965
176.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24661
190.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20437
159.7 IPS |
|
|
Style Transfer (SP)
|
100% |
77693
99.9 IPS |
|
|
Style Transfer (HP)
|
100% |
92507
118.9 IPS |
|
|
Style Transfer (Q)
|
96% |
86654
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15442
570.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15971
589.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12029
444.2 IPS |
|
|
Text Classification (SP)
|
100% |
1974
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3181
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
896
15.5 IPS |
