MacBook Pro (14-inch, 2024)
Geekbench AI Score
21341
Single Precision Score
23886
Half Precision Score
22273
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | shabbirh313 |
| Upload Date | May 17 2025 03:15 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9718
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
10060
1.87 KIPS |
|
|
Image Classification (Q)
|
96% |
9146
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20371
330.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21373
346.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20280
328.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
80204
93.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
85125
99.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
83734
98.1 IPS |
|
|
Object Detection (SP)
|
100% |
8514
675.3 IPS |
|
|
Object Detection (HP)
|
100% |
9869
782.9 IPS |
|
|
Object Detection (Q)
|
92% |
8925
712.4 IPS |
|
|
Face Detection (SP)
|
100% |
35908
426.7 IPS |
|
|
Face Detection (HP)
|
100% |
37885
450.2 IPS |
|
|
Face Detection (Q)
|
100% |
32671
388.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
42916
330.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45256
348.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
40788
318.6 IPS |
|
|
Style Transfer (SP)
|
100% |
187197
240.6 IPS |
|
|
Style Transfer (HP)
|
100% |
201533
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
194254
250.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27074
999.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27303
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23992
885.9 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5395
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5354
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6258
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6576
113.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6520
112.7 IPS |
